In this paper, we analysed the less explored links between musical preferences, demographics (age, gender, political views, and education level) and Moral Foundations (MFT [1]}). We applied both classification and regression models for moral traits prediction. From classification results, it was inferred that MFT Binding (encompassing purity, authority and loyalty) was best predicted with AUROC score 72%, whereas MFT individualising (including care and fairness) showed weaker results with AUROC score 61%. While, for the regression task the lowest MAE was 3.0 for the Individualising and 3.74 for Social Binding. In both approaches, the most impactful features on inferring morality were christian music and age.
